Call For Papers --------------- Data Mining with Constraints 1/2 a day Workshop co-located with KDD 2008, Las Vegas Nevada www.constrained-clustering.org/KDDWS.html The purpose of data mining is to find novel and actionable patterns in data. However, in many domains there already exists considerable domain knowledge and the chance of finding patterns consistent with and novel with respect to this knowledge is small unless the algorithm is informed of it. The area of data mining with constraints codifies domain expertise and knowledge in the form of constraints and modifies the aim of data mining to find patterns that satisfy these constraints. This idea has actively been explored in the context of association rules, clustering and classification, with many papers being published in machine learning and data mining conferences. Tutorials been given on the topic at ECML/PKDD 2002, IEEE ICDM 2005 and KDD 2006, and several workshops have been held on the topic of constraint-based mining and inductive databases (cMILE 2007, KDID 2002-2006) next to the ECML/PKDD conference. This workshop has two aims: 1) Bring together people in different areas of data mining that make use of constraints, including people from the constrained clustering and inductive databases/queries communities 2) Actively explore the foundations and future of the area. A dinner or lunch will be organized to continue the discussion after the workshop. We invite papers describing novel research dealing with the use of constraints in data mining and related areas of interest, including but not limited to . Association rule mining with constraints . Clustering with constraints . Inductive databases and queries . Learning distance metrics from constraints . Learning predictive models with constraints In particular, we encourage the submission of well written position papers, and thought-provoking papers that would stimulate a discussion on the future of the field. Submissions should be made in the KDD 2008 paper format to both PC-chairs. If you are considering submitting to the workshop and need further information, please do not hesitate to contact the PC chairs. Key Dates: Submission: 05/27/08 Acceptance: 06/16/08 Camera Ready Copies: 06/20/08 Workshop Date: 08/24/08 PC Chairs - Ian Davidson (davidson@cs.ucdavis.edu) and Saso Dzeroski (Saso.Dzeroski@ijs.si) Please go to www.constrained-clustering.org/KDDWS.html for details. PC Committee (so far)- Sugato Basu - Google Jean-Francois Boulicaut - INSA Lyon Martin Ester - SFU Bart Goethals, University of Antwerp David Gondek - IBM Watson Rong Ge - SFU Fosca Giannotti - University of Pisa Celine Robardet - Insa Lyon James Bailey - University of Melbourne Sanjay Chawla - University of Sydney Satoshi Oyama - Kyoto University Jan Sturyf - KU Leuven Taneli Mielikainen - Nokia S.S. Ravi - SUNY - Albany Siegfried Nijssen - KU Leuven